CN115098472A

CN115098472A - Digital twinning method, device and equipment for full life cycle of physical entity

Info

Publication number: CN115098472A
Application number: CN202210767668.3A
Authority: CN
Inventors: 林伟
Original assignee: Beijing Wellintech Co Ltd
Current assignee: Beijing Wellintech Co Ltd
Priority date: 2022-06-30
Filing date: 2022-06-30
Publication date: 2022-09-23

Abstract

The application provides a digital twin method, a device and equipment for a full life cycle of a physical entity, wherein the method comprises the following steps: creating a data model of the physical entity, wherein the structure of the data model is an attribute parameter set of the physical entity; acquiring the current state, the historical state and the plan state of the same target physical entity; the method solves the problem that two or more models with the same structure and different parameter values cannot be distinguished in a modeling stage, and provides a foundation for the construction of a complex model.

Description

Digital twinning method, device and equipment for full life cycle of physical entity

Technical Field

The application relates to the technical field of computers and Internet of things, in particular to a digital twinning method, device and equipment for a full life cycle of a physical entity.

Background

With the continuous improvement of the digitization and the automation degree of the internet of things, a Digital Twin technology (abbreviated as DT) is one of subversive technologies which are improved for many times and have huge development, and the heat is continuously improved, so that the Digital Twin technology is considered as one of the key technologies for interconnecting everything.

The digital twin is not only a mirror image of the physical world, but also receives real-time information of the physical world, and in turn drives the physical world in real time, and evolves to be a precedent, a precedent and even a superbody of the physical world. The growth and development of the digital twin body go through several processes of digitalization, interaction, foreknowledge, inspiration, joint intelligence and the like, wherein the digitalization is a process of digitalizing the physical world, and the process needs to express a physical object as a digital model which can be recognized by a computer and a network. The modeling technology is one of the core technologies of digitization, such as mapping and scanning, geometric modeling, grid modeling, system modeling, process modeling, tissue modeling and the like, and the current digital twin model can be generally divided into two modes, namely a general model and a professional model.

Although the professional model is strong in pertinence, the professional model is not universal, poor in openness and compatibility and incapable of interaction and integration.

In terms of data dimension, the current data modeling technology is usually a model-to-object mode, that is, different models are established for different objects, so that when multiple objects with the same structure but different specific parameters are determined, different models need to be established for the multiple objects, which results in high complexity of the models and needs to occupy more resources.

Disclosure of Invention

The invention provides a digital twinning method, a digital twinning device and a digital twinning equipment for a full life cycle of a physical entity, which are used for solving the problem that different models need to be respectively established for a plurality of objects when the plurality of objects with the same structure but different specific parameters are aimed at in the prior art.

The embodiment of the application provides a digital twinning method for a full life cycle of a physical entity, which comprises the following steps:

creating a data model of a physical entity, wherein the structure of the data model is an attribute parameter set of the physical entity;

acquiring the current state, the historical state and the plan state of the same target physical entity;

performing digital twinning based on the data model and the current state of the target physical entity to obtain a real-time physical entity object, performing digital twinning based on the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performing digital twinning based on the data model and the planned state of the target physical entity to obtain a planned physical entity object.

An embodiment of the present application further provides a method for subscribing to a physical entity, including:

performing digital twinning based on the data model and the current state of the target physical entity to obtain a real-time physical entity object, performing digital twinning based on the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performing digital twinning based on the data model and the planned state of the target physical entity to obtain a planned physical entity object;

and generating a subscription item according to the subscription request of the physical entity, and generating corresponding subscription information according to the subscription item when the condition of triggering generation of the subscription information is determined to be met in the digital twin process of the full life cycle of the physical entity.

The method solves the problem that two or more models with the same structure and different parameter values cannot be distinguished in the modeling stage, and provides a foundation for the construction of complex models.

The embodiment of the present application further provides a digital twin device of a full life cycle of a physical entity, including:

the system comprises a creating module, a data model generating module and a data analyzing module, wherein the creating module is used for creating a data model of a physical entity, and the structure of the data model is an attribute parameter set of the physical entity;

the acquisition module is used for acquiring the current state, the historical state and the plan state of the same target physical entity;

and the object generation module is used for performing digital twinning on the basis of the data model and the current state of the target physical entity to obtain a real-time physical entity object, performing digital twinning on the basis of the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performing digital twinning on the basis of the data model and the planned state of the target physical entity to obtain a planned physical entity object.

An embodiment of the present application further provides a physical entity subscription device, including:

an object generation module, configured to perform digital twinning based on the data model and a current state of the target physical entity to obtain a real-time physical entity object, perform digital twinning based on the data model and a historical state of the target physical entity to obtain a historical physical entity object, and perform digital twinning based on the data model and a planned state of the target physical entity to obtain a planned physical entity object;

and the subscription module is used for generating subscription items according to the subscription request of the physical entity, and generating corresponding subscription information according to the subscription items when determining that the conditions for triggering generation of the subscription information are met in the digital twin process of the full life cycle of the physical entity.

The embodiment of the application also provides a digital twin device with a full life cycle of a physical entity, which comprises at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the methods of the physical entity full lifecycle digital twin method.

The embodiment of the present application further provides a physical entity subscription device, which includes at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the methods of the physical entity subscription methods.

The present application also provides a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement any of the above-described physical entity full lifecycle digital twin method or physical entity subscription method.

In addition, the technical effects brought by any one implementation manner of the digital twin/physical entity subscription device, the apparatus and the computer-readable storage medium in the full lifecycle of the physical entity can be referred to the technical effects brought by different implementation manners in the digital twin/physical entity subscription method in the full lifecycle of the physical entity, and are not described herein again.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

FIG. 1 is a flow chart of a method for digital twinning of a full lifecycle of a physical entity according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a full-life cycle digital twinning process of a physical entity according to an embodiment of the present disclosure;

fig. 3 is a flowchart of a method for subscribing to a physical entity according to an embodiment of the present application;

FIG. 4 is a schematic diagram of a full-life-cycle digital twin device for physical entities according to an embodiment of the present disclosure;

fig. 5 is a schematic diagram of a physical entity subscription apparatus according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a full-life-cycle digital twin device for physical entities according to an embodiment of the present disclosure;

fig. 7 is a schematic diagram of a physical entity subscription device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.

The application scenario described in the embodiment of the present application is for more clearly illustrating the technical solution of the embodiment of the present application, and does not form a limitation on the technical solution provided in the embodiment of the present application, and it can be known by a person skilled in the art that with the occurrence of a new application scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems. In the description of the present application, the term "plurality" means two or more unless otherwise specified.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The digital twin not only is a mirror image of the physical world, but also receives real-time information of the physical world, and the digital twin is required to drive the physical world in real time in turn and evolves to be a foreknowledge, a forensics and even a superbody of the physical world. The growth and development of a digital twin body can go through several processes of digitalization, interaction, foreknowledge, precedent sense, joint intelligence and the like.

"digitizing" is the process of digitizing the physical world, which requires the physical objects to be expressed as digital models recognizable by computers and networks. The modeling technology is one of the core technologies of digitization, such as mapping scanning, geometric modeling, grid modeling, system modeling, process modeling, tissue modeling, and the like.

If a high fidelity digital virtual model is to be created, aspects of a thing need to be described, such as twinning a physical entity, the geometry, properties, behavior, rules, etc. of the physical entity need to be faithfully reproduced, and therefore a complete digital twin model should be multi-dimensional.

The existing five-dimensional structure model concept indicates that the digital twin comprises 5 dimensions of physical entities, virtual entities, twin data, connection and service, but the structure of modules is not standard at present, the interconnection and the intercommunication among the modules are not described in detail, and no specific implementation method is provided in the whole.

According to the concept of five-dimensional model, the current simulation-based modeling technology, such as 3D graphical modeling, should belong to the dimension of the virtual entity, and most of the current digital twin methods are in this aspect. The digital twin correlation method also comprises a plurality of dimensions, for example, some twin data modeling methods not only comprise objective objects, but also comprise rule construction methods and the like, and data and rule calculation and the like are mixed together and are solutions comprising a plurality of dimensions.

The existing digital twin model can be generally divided into a general model and a professional model, wherein the professional model and tools have the advantages of pertinence and the defects of no universality, poor openness and compatibility and incapability of interaction and integration;

only from the dimension of data, the current data modeling technology has the problem that models with the same structure and different parameter values cannot be distinguished; moreover, most of the current object full-cycle data only comprise real-time data and historical data, and management on prenatal planning data is lacked.

Based on the above problems, the present application provides a digital twin method, apparatus and device for a full life cycle of a physical entity, and aims to standardize digital twin data generated in the related art, realize collaboration of a digital twin, and reduce development cost of a model.

Fig. 1 is a schematic flowchart of a full-life-cycle digital twinning method for a physical entity according to an embodiment of the present disclosure; as shown in fig. 1, the present application provides a digital twinning method for a full life cycle of a physical entity, which includes:

step 101, creating a data model of a physical entity, wherein the structure of the data model is an attribute parameter set of the physical entity;

102, acquiring the current state, the historical state and the plan state of the same target physical entity;

and 103, performing digital twinning on the basis of the data model and the current state of the target physical entity to obtain a real-time physical entity object, performing digital twinning on the basis of the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performing digital twinning on the basis of the data model and the planned state of the target physical entity to obtain a planned physical entity object.

When a data model of a physical entity is created, acquiring attribute parameters of the physical entity, and determining an attribute parameter set of the physical entity to obtain the data model of the physical entity;

the attribute parameters of the physical entity include an attribute name and a data type.

After a data model of a physical entity is created, a current state, a historical state and a plan state, which respectively correspond to a target physical entity at a current moment, a historical moment and a future moment, are obtained, wherein the state refers to a specific numerical value of each attribute parameter in an attribute parameter set of the target physical entity at the corresponding moment.

And then, respectively carrying out digital twinning on the basis of the established data model and the current state, the historical state and the plan state of the target physical entity to obtain a real-time physical entity object, a historical physical entity object and a plan physical entity object which respectively correspond to the current state, the historical state and the plan state.

As an optional implementation manner, after the data model of the physical entity is created, the data model of the physical entity may be further predefined to obtain initial values of the attribute parameter set corresponding to the structure model of the physical entity, where one structure model corresponds to at least one predefined data initial value, and the predefined data initial value refers to a specific initial value corresponding to at least one attribute parameter in the structure model.

The predefined data initial value may be set manually by a user according to a requirement, or may be an attribute parameter value of the physical entity at a certain time as the predefined data initial value.

As an alternative embodiment, creating a data model of a physical entity includes:

obtaining the structure of a data model by determining an attribute parameter set of a physical entity, wherein attribute parameters in the attribute parameter set of the physical entity comprise an attribute name and a data type;

and initializing the attribute parameters of the structure of the data model at least once to obtain at least one group of predefined data initial values corresponding to the structure of the data model.

After a data model of a physical entity is created, acquiring a current state, a historical state and a plan state respectively corresponding to a target physical entity at a current moment, a historical moment and a future moment, wherein the state refers to a specific numerical value of each attribute parameter in an attribute parameter set of the target physical entity at the corresponding moment;

and then, replacing the predefined data initial value in the established data model by using the acquired attribute parameter value corresponding to each time state of the target physical entity to obtain the corresponding twin object.

As an optional implementation manner, the method for performing digital twinning based on the data model and the current state of the target physical entity to obtain a real-time physical entity object, performing digital twinning based on the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performing digital twinning based on the data model and the planned state of the target physical entity to obtain a planned physical entity object includes:

determining a group of predefined data initial values corresponding to the target physical entity, and replacing the determined group of predefined data initial values with attribute parameter values corresponding to the current state of the target physical entity to obtain the real-time physical entity object;

determining a group of predefined data initial values corresponding to the target physical entity, and replacing the determined group of predefined data initial values with attribute parameter values corresponding to the historical state of the target physical entity to obtain the historical physical entity object;

and determining a group of predefined data initial values corresponding to the target physical entity, and replacing the determined group of predefined data initial values with attribute parameter values corresponding to the plan state of the target physical entity to obtain the plan physical entity object.

As an optional implementation manner, the attribute parameter set of the physical entity includes the following attribute parameters:

the physical entity data model identification is used for uniquely identifying the data model corresponding to the physical entity;

the physical entity object identification is used for uniquely identifying the corresponding physical entity;

the physical entity data model comprises predefined identifications of the physical entity data models and a set of predefined data initial values for uniquely identifying the corresponding physical entity data models.

In some embodiments, the real-time physical entity object, the historical physical entity object, and the physical entity object of the planned physical entity object of the same physical entity are identified as the same, indicating that they are twins of the same physical entity in different tenses.

As an optional implementation manner, the attribute parameter set of the physical entity includes a time attribute, where:

the time attribute of the real-time physical entity object is used for recording the current time when the physical entity changes or the time when the physical entity changes last time;

the time attribute of the historical physical entity object is used for recording the time when the history of the physical entity changes every time;

the time attribute of the plan physical entity object is used for recording the time when the physical entity plan changes and the duration of the change.

As an optional implementation manner, the attribute parameter set of the physical entity includes:

and the space attribute is used for recording the space of the physical entity.

The space attribute of the real-time physical entity object is used for recording the space to which the physical entity belongs currently; the space attribute of the historical physical entity object is used for recording the space to which the physical entity belongs in the past; the space attribute of the planned physical entity object is used for recording the space to which the physical entity belongs in the future.

The attribute parameter set of the physical entity further comprises a parent attribute, wherein the parent attribute is used for recording that the physical entity is a parent physical entity, or recording that the physical entity is a child physical entity and a physical entity object identifier of the parent physical entity to which the physical entity belongs;

the space attribute includes a parent space, the parent space of the physical entity object is the space where the parent physical entity object is located, the parent-child relationship between the physical entity objects is the space containing relationship between the physical entity objects, if the physical entity object has a corresponding parent physical entity object, the space of the parent physical entity object is the space where the physical entity object belongs, and if the space where the parent physical entity object belongs moves, the space of the physical entity object also moves along with the space.

Wherein the spatial attributes further include at least one of the following attributes:

the position attribute is used for recording the spatial position of the physical entity;

and the shape attribute is used for recording the shape of the physical entity.

As an alternative embodiment, the spatial position is described in a manner of offset of the physical entity relative to spatial positions of other associated physical entities, or in a manner of another object entity in the spatial positions of the other associated physical entities.

In some embodiments, the offset of the spatial position of the physical entity relative to other associated physical entities refers to a position offset of the physical entity within the spatial position of its parent physical entity, for example: if the parent physical entity of the keyboard is a research and development office, the spatial location of the keyboard can be described as one coordinate in the office.

The other object entity in the spatial location of the other associated physical entity refers to another physical entity in the spatial location of the parent physical entity of the physical entity, for example: the parent physical entity of the keyboard is a research and development office, and the office also includes a desk (another child physical entity of the parent physical entity), so the spatial position of the keyboard can be described as the desk.

In some embodiments, the method for digital twinning of a full lifecycle of a physical entity provided in this application further includes generating a record of physical entity objects at each time, where the specific process is to construct a data model of the physical entity, a physical entity object twin based on the data model of the physical entity, or to construct a data model of the physical entity, predefine the data model of the physical entity, and physical entity object twin based on the predefined data model of the physical entity. The generation method of the physical entity object record in this embodiment also includes the following two ways:

and in the first mode, the attribute parameter values of the physical entity object at each moment are recorded to obtain the corresponding physical entity object record.

As an optional implementation manner, generating a physical entity object record at each time in this application embodiment includes:

recording the obtained attribute parameter value of a real-time physical entity object to obtain a real-time physical entity object record corresponding to the physical entity;

recording the obtained attribute parameter value of a historical physical entity object to obtain a historical physical entity object record corresponding to the physical entity;

recording the obtained attribute parameter value of a planned physical entity object to obtain a planned physical entity object record corresponding to a physical entity;

the real-time physical entity object record, the historical physical entity object record and the planned physical entity object record of the same physical entity have the same physical entity object identification.

As an optional implementation manner, recording an obtained attribute parameter value of one historical physical entity object to obtain one historical physical entity object record of a corresponding physical entity, including:

when the current state of the target physical entity is determined to be changed, the historical state of the target physical entity is obtained according to the changed state of the target physical entity, the attribute parameter values of the historical physical entity object are determined and recorded, and a historical physical entity object record corresponding to the physical entity is obtained; or alternatively

And determining and recording the attribute parameter values of the historical physical entity object according to the historical state of the target physical entity predefined by the user to obtain a historical physical entity object record corresponding to the physical entity.

The time attribute of the historical physical entity object record is the time when the target physical entity changes in the past, so that a plurality of historical physical entity object records can represent the state of the target physical entity when the target physical entity changes in the past.

As an optional implementation manner, recording an obtained attribute parameter value of a planned physical entity object to obtain a planned physical entity object record corresponding to a physical entity, includes:

and according to the plan state of the target physical entity predefined by the user, determining and recording the attribute parameter values of the plan physical entity object to obtain a plan physical entity object record corresponding to the physical entity.

The time attribute of the planned physical object record is a future time, or a future time and a duration, and the planned physical object record can represent the state of the target physical entity within the duration from the future time.

And secondly, replacing the predefined data initial value by using the attribute parameter value of the physical entity object at each moment to obtain the corresponding physical entity object record.

replacing the determined set of predefined data initial values by using the attribute parameter values corresponding to the current state of the target physical entity, and recording the set of attribute parameter values obtained after replacement to obtain a real-time physical entity object record corresponding to the physical entity;

replacing the determined set of predefined data initial values by using the attribute parameter values corresponding to the historical state of the target physical entity, and recording the set of attribute parameter values obtained after replacement to obtain a historical physical entity object record corresponding to the physical entity;

replacing the determined set of predefined data initial values by using the attribute parameter values corresponding to the planned state of the target physical entity, and recording the set of attribute parameter values obtained after replacement to obtain a planned physical entity object record corresponding to the physical entity;

As an optional implementation manner, the attribute parameter value of the historical state of the target physical entity is determined according to the current state of the target physical entity after the target physical entity changes, or is determined according to the historical state of the target physical entity predefined by the user;

and the attribute parameter value of the planned state of the target physical entity is determined according to the planned state of the target physical entity predefined by the user.

In some embodiments, when the state of a physical entity changes, a historical physical entity object record corresponding to the same physical entity object identification may be automatically stored.

It should be noted that, when performing digital twinning, only one twin object exists in the same physical entity, i.e. the real-time physical entity object, and the change of the state of the real-time physical entity object will generate a corresponding historical physical entity object record, and the predefinition of the future state thereof will generate a corresponding planned physical entity object record.

Fig. 2 is a schematic diagram of a digital twinning process of a full life cycle of a physical entity provided in an embodiment of the present application, and the following describes in detail a digital twinning method of a full life cycle of a physical entity provided in an embodiment of the present application with reference to fig. 2, where an initial value of predefined data is simply referred to as predefined.

Firstly, a data model is created for a physical entity, specifically, the data model includes a structural model and a predefined, wherein the structural model at least includes one attribute parameter of the physical entity, taking a tire as an example, the attribute parameter of the tire includes a tire width, a flat ratio, a hub diameter, a load factor, and a speed factor, and then the structural model at least needs to include at least one attribute, and one attribute at least has an attribute name and a data type, so that the structural model of the tire can be created, which is shown as follows:

model _ Tire// Tire Model

{

Float tire width;

flat ratio of Float;

(iii) Float rim diameter;

int load factor;

string speed identification;

whether Bool is good or not;

}ID＝“M1”；

after the structure model is established, predefinitions corresponding to the structure model need to be established, wherein one structure model at least corresponds to one predefinition, and the predefinition records at least a specific numerical value of an attribute parameter corresponding to the structure model, namely predefinition mainly needs to record an attribute value.

Specifically, assuming that a factory actually has 3 types of tires adapted to 3 types of vehicles, and attribute parameter values such as a tire width are different, 3 tires can be created and predefined, which respectively correspond to 3 specifications of tires, and the 3 tires are predefined as follows:

def _ Tire _ SportSedan1// sports car Tire

{

The tire width is 200;

the percentage of the tire thickness to the tire width is 36;

the diameter of the wheel rim is 18;

the load factor is 58;

speed identification ═ H ";

whether good or not true;

}ID＝“D1”；

def _ Tire _ SportCar1// sports car Tire

{

The tire width is 210;

the percentage of the tire thickness to the tire width is 38;

the diameter of the wheel rim is 19;

the load factor is 60;

speed identification "Z";

whether good or not true;

}ID＝“D2”；

def _ Tire _ ExoticSportCar1// special sports car Tire

{

The tire width is 210;

the percentage of the tire thickness to the tire width is 38;

the diameter of the wheel rim is 19;

the load factor is 64;

speed identification ═ Y;

whether good or not true;

}ID＝“D3”；

after the data model is established, assuming that the number of tires of 3 specifications to be produced in the factory is 10000, 8000 and 1000 respectively, and a user creates digital twin real-time objects of the tires while actually producing the tires, 10000 tires of the sports car are created according to predefined Def _ Tire _ SportSedan; 8000 tyres of the sports car, created according to a predefined Def _ Tire _ sport car; 1000 tyres of a special sports car, created according to a predefined Def _ Tire _ exoticsports car.

The method comprises the steps that a user creates a digital twin object according to predefinitions, initial values of the object are derived from the predefinitions, therefore, member values of tire width, percentage of tire thickness to tire width, rim diameter, load factor, speed identification and whether the tire width is good or not are kept consistent with the predefined member values through the object created by different predefinitions; and the created digital twin object has a time attribute TimePosition, the value of the attribute at the time of creation is the production time, and the production time of 10000 tires suitable for sports cars is assumed to be 2021-5-58: 0: 0; while the digital twin object has a spatial attribute, its Parent attribute (Parent) is used to record which vehicle the tire is assembled on at the time of assembly, i.e. the space in which it is located.

Then the real-time object for one of the tires, when created, can be illustrated as follows:

RealtimeObj_Tire_SportSedan5

{

the tire width is 200;

the percentage of the tire thickness to the tire width is 36;

the diameter of the wheel rim is 18;

the load factor is 58;

speed identification ═ H ";

whether good or not true;

TimePosition＝DateTimeParse(“2021-5-5 8:0:0”)；

parent is 0; //0 means no assembly

}ID＝5；

If the quality inspection finds that some tires are not qualified after the tires are produced, whether good members of twin real-time objects of the tires are good or not needs to be modified to false, and if the modification time is 2021-5-78: 0:0, the time attribute TimePosition also needs to be modified to the change time of the objects, namely 2021-5-78: 0:0, which is shown as follows:

RealtimeObj _ Tire _ SportSedan4// off-spec Tire

{

The tire width is 200;

the percentage of the tire thickness to the tire width is 36;

the diameter of the wheel rim is 18;

the load factor is 58;

speed identification ═ H ";

whether good or false;

TimePosition＝DateTimeParse(“2021-5-7 8:0:0”)；

Parent＝0；

}ID＝4；

qualified tires are then involved in the assembly of the vehicle, and assuming assembly time 2021-5-88: 0:0, the real-time object will change to:

RealtimeObj _ Tire _ SportSedan5// after assembly of qualified Tire

{

The tire width is 200;

the percentage of the tire thickness to the tire width is 36;

rim diameter 18;

the load factor is 58;

speed identification ═ H ";

whether good or false;

TimePosition＝DateTimeParse(“2021-5-8 8:0:0”)；

3476778912330022912; // assume 3476778912330022912 as vehicle object ID

}ID＝5；

A history object of the tire may also be created, the history object includes a history record, and taking the tire with the ID of 5 as an example, 2 history records are added for recording the states of the tire at the time of creation and assembly, which is schematically shown as follows:

historydata1_ Tire _ SportSedan5// Tire 5 item 1 History

{

Tire width is 200;

the percentage of the tire thickness to the tire width is 36;

rim diameter 18;

the load factor is 58;

speed identification ═ H ";

whether good or not true;

TimePosition＝DateTimeParse(“2021-5-5 8:0:0”)；

Parent＝0；

}ID＝5；

HistoryData2_ Tire _ SportSedan5// Tire 5 item 2 History record

{

Tire width is 200;

the percentage of the tire thickness to the tire width is 36;

the diameter of the wheel rim is 18;

the load factor is 58;

speed identification ═ H ";

good or not good for false;

TimePosition＝DateTimeParse(“2021-5-8 8:0:0”)；

Parent＝3476778912330022912；

}ID＝5；

when the twin real-time object changes, the history object is automatically generated, the two histories of the tire with the ID of 5 are not required to be created by a user, and the states of the real-time object during creation and assembly are automatically stored as the two histories.

The data model concept provided by the embodiment of the application comprises a structural model and predefinition, can solve the problem that two or more models with the same structure and different parameter values cannot be distinguished in a modeling stage, and provides a foundation for construction of a complex model.

With reference to the above embodiment, if there is no tire predefined and there is only one tire model, the modeling stage cannot distinguish tires of 3 specifications, and only models of 3 tires can be built, because the difference of 3 specifications is reflected on the attribute parameter value, not on the attribute parameter structure, and the model depending on only one attribute parameter structure cannot be expressed.

Assuming that a composite vehicle model needs to be constructed again, for example, a sports car model is constructed, on the basis of this application, 4 sports car tires can be added as predefined submodels of the sports car model, so as to form the sports car model, which is as follows:

sports car model

Def_Tire_SportSedan1

Def_Tire_SportSedan2

Def_Tire_SportSedan3

Def_Tire_SportSedan4

However, the related art cannot describe and distinguish models with the same structure and different values, and even cannot construct the similar composite model.

Fig. 3 is a flowchart of a physical entity subscription method provided in an embodiment of the present application, and as shown in fig. 3, an embodiment of the present application further provides a physical entity subscription method, including:

step 301, creating a data model of a physical entity, wherein the structure of the data model is an attribute parameter set of the physical entity;

step 302, obtaining the current state, the historical state and the plan state of the same target physical entity;

303, performing digital twinning on the basis of the data model and the current state of the target physical entity to obtain a real-time physical entity object, performing digital twinning on the basis of the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performing digital twinning on the basis of the data model and the planned state of the target physical entity to obtain a planned physical entity object;

and 304, generating subscription items according to the subscription request of the physical entity, and generating corresponding subscription information according to the subscription items when the condition for triggering generation of the subscription information is determined to be met in the digital twin process of the full life cycle of the physical entity.

For the data twinning process of the physical entity object in the above steps 301 to 303, refer to the description of the above embodiment, which is not described herein again.

After receiving a subscription request containing a 'physical entity object identifier', the time-space database generates a subscription item, wherein the subscription item comprises the physical entity object identifier and a filtering condition.

The method comprises the steps that a time-space database is pre-established, a physical entity object identifier is associated with a subscription item of a predefined data initial value, a physical entity object identifier is associated with a subscription item of a predefined instantiated physical entity object, and a physical entity object identifier is associated with a subscription item of data generated by the predefined instantiated physical entity object.

Specifically, when the condition for triggering generation of the subscription information is satisfied, the corresponding subscription information is generated according to the subscription item, and the subscription information includes the following types:

the method comprises the following steps of firstly, carrying out predefined creation, modification and deletion based on a model.

In the process of physical entity twinning, when the creation of the predefined data initial value is found, whether a subscription item corresponding to the physical entity object identification corresponding to the predefined data initial value exists is inquired, and if the subscription item exists, a predefined creation event is issued.

And when the predefined data initial value is modified and deleted subsequently, correspondingly issuing predefined modification events and predefined deletion events.

As an optional implementation manner, when determining that a condition for triggering generation of subscription information is satisfied, generating corresponding subscription information according to the subscription item includes:

when at least one group of predefined data initial values corresponding to the structure of the data model is established, modified or deleted, the condition of triggering generation of subscription information is met;

and inquiring at least one group of predefined data initial values corresponding to the structure of the data model according to the physical entity object identification and the filtering condition in the subscription item, wherein the attribute parameters comprise the physical entity object identification and the data meeting the filtering condition, and obtaining the subscription information matched with the subscription request.

And secondly, creating, modifying and deleting the planned physical entity object based on the created predefined data initial value.

In the process of carrying out physical entity twinning, when finding that the planned physical entity object is created, inquiring whether a subscription item corresponding to the physical entity object identification of the planned physical entity object exists, and if the subscription item exists, issuing the planned physical entity object creation event.

When the scheduled physical entity object is modified or deleted, the scheduled physical entity object modification event and the scheduled physical entity object deletion event are issued.

when the plan physical entity object is determined to be created, modified or deleted, the condition of generating subscription information is triggered to be met;

and when determining that the attribute parameters of the created, modified or deleted plan physical entity object comprise the physical entity identifier in the subscription item, querying data meeting the filter condition in the corresponding subscription item in the created, modified or deleted plan physical entity object to obtain subscription information matched with the subscription request.

And thirdly, creating, modifying and deleting the real-time physical entity object based on the created planning physical entity object.

In the process of physical entity twinning, when finding that the real-time physical entity object instantiated by the plan physical entity object is created, inquiring whether a subscription item corresponding to the physical entity object identification of the real-time physical entity object exists, and if the subscription item exists, issuing the real-time physical entity object creation event.

And when the real-time object is modified or deleted, issuing the real-time physical entity object modification event and the real-time physical entity object deletion event.

determining that conditions for triggering generation of subscription information are met when a real-time physical entity object instantiated by a planned physical entity object is created or when the real-time physical entity object is deleted or modified;

and when determining that the attribute parameters of the created, modified or deleted real-time physical entity object comprise the physical entity identification in the subscription item, inquiring data meeting the filter condition in the corresponding subscription item in the created, modified or deleted real-time physical entity object to obtain subscription information matched with the subscription request.

And fourthly, generating historical physical entity objects based on the created real-time physical entity objects.

When the real-time physical entity object is modified, historical data is generated, i.e., a historical physical entity object is generated. And inquiring whether a subscription item corresponding to the physical entity object identification of the historical physical entity object exists or not, and if so, publishing the historical physical entity object generation event.

determining that the condition for triggering and generating subscription information is met when the real-time physical entity object is modified to generate the historical physical entity object;

and when the attribute parameters of the generated historical physical entity object are determined to comprise the physical entity identification in the subscription item, inquiring data which meets the filter condition in the corresponding subscription item in the generated historical physical entity object to obtain the subscription information matched with the subscription request.

The embodiment of the application further provides a method for querying the physical entity after the subscription of the physical entity is completed, including:

receiving a physical entity query request, wherein the physical entity query request comprises a physical entity object identifier and a filtering field;

and determining subscription information obtained by the subscription item containing the physical entity object identifier, and filtering the determined subscription information according to the filtering field to obtain a query result.

Specifically, querying the physical entity comprises the following steps:

firstly, a predefined data initial value for query creation based on a model:

after receiving a query request only containing 'physical entity object identification and/or filtering condition', the model database queries the predefined data initial value instantiated by the model according to the physical entity object identification and the filtering condition, and queries according to the predefined identification of the physical entity data model.

Then, multi-temporal query of the physical entity object is performed based on the predefined identification of the above query:

after receiving a query request only containing 'predefined identification and/or filter condition', the plan database queries the plan physical entity object instantiated by the initial value of the predefined data.

And after receiving a query request only containing 'predefined identification and/or filter condition', the real-time database queries the real-time physical entity object converted from the planned physical entity object instantiated by the initial value of the predefined data.

And after receiving a query request only containing the predefined identification and/or the filter condition, the historical database queries historical physical entity objects generated by the real-time physical entity objects instantiated by the initial values of the predefined data.

Based on the same disclosure concept, the embodiment of the present application further provides a digital twin device with a full life cycle of a physical entity, and since the device is the device in the method in the embodiment of the present application and the principle of the device to solve the problem is similar to that of the method, the implementation of the device may refer to the implementation of the method, and repeated details are not repeated.

Fig. 4 is a schematic diagram of a digital twin device of a full physical life cycle according to an embodiment of the present disclosure, please refer to fig. 4, a digital twin device of a full physical life cycle according to an embodiment of the present disclosure includes:

a creating module 401, configured to create a data model of a physical entity, where a structure of the data model is an attribute parameter set of the physical entity;

an obtaining module 402, configured to obtain a current state, a historical state, and a planned state of a same target physical entity;

an object generating module 403, configured to perform digital twinning based on the data model and the current state of the target physical entity to obtain a real-time physical entity object, perform digital twinning based on the data model and the historical state of the target physical entity to obtain a historical physical entity object, and perform digital twinning based on the data model and the planned state of the target physical entity to obtain a planned physical entity object.

Optionally, the attribute parameter set of the physical entity includes:

and the space attribute is used for recording the space of the physical entity.

Optionally, the creating module 401 creates a data model of a physical entity, including:

obtaining the structure of a data model by determining an attribute parameter set of a physical entity, wherein the attribute parameters in the attribute parameter set of the physical entity comprise an attribute name and a data type;

and initializing the structure of the data model for at least one time to obtain at least one group of predefined data initial values corresponding to the structure of the data model.

Optionally, the object generating module 403 performs digital twinning based on the data model and the current state of the target physical entity to obtain a real-time physical entity object, performs digital twinning based on the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performs digital twinning based on the data model and the planned state of the target physical entity to obtain a planned physical entity object, including:

and determining a group of predefined data initial values corresponding to the target physical entity, and replacing the determined group of predefined data initial values with the attribute parameter values corresponding to the plan state of the target physical entity to obtain the plan physical entity object.

Optionally, the attribute parameter set of the physical entity includes a time attribute, where:

Optionally, an embodiment of the present application provides a digital twin device of a full life cycle of a physical entity, further including an object record generating module, configured to:

recording the obtained attribute parameter value of a planned physical entity object to obtain a planned physical entity object record corresponding to the physical entity;

Optionally, the object record generating module is configured to record an obtained attribute parameter value of a historical physical entity object, to obtain a historical physical entity object record corresponding to the physical entity, and includes:

when the current state of the target physical entity is determined to be changed, the historical state of the target physical entity is obtained according to the changed state of the target physical entity, the attribute parameter values of the historical physical entity object are determined and recorded, and a historical physical entity object record corresponding to the physical entity is obtained; or

Optionally, the object record generating module is configured to record the obtained attribute parameter value of a planned physical entity object, and obtain a planned physical entity object record corresponding to the physical entity, where the method includes:

Optionally, the object record generating module is further configured to:

Optionally, the attribute parameter value of the historical state of the target physical entity is determined according to the current state of the target physical entity after the target physical entity changes, or is determined according to the historical state of the target physical entity predefined by the user;

Optionally, the attribute parameter set of the physical entity includes the following attribute parameters:

Optionally, the spatial attribute further includes at least one of the following attributes:

and the shape attribute is used for recording the shape of the physical entity.

Optionally, the spatial position is described in a manner of a spatial position offset of the physical entity relative to other associated physical entities, or in a manner of another object entity in the spatial position of the other associated physical entities.

Based on the same disclosure concept, the embodiment of the present application further provides a physical entity subscription device, and since the device is a device in the method in the embodiment of the present application, and the principle of the device for solving the problem is similar to that of the method, the implementation of the device may refer to the implementation of the method, and repeated details are not described again.

Fig. 5 is a schematic diagram of a physical entity subscription device according to an embodiment of the present application, please refer to fig. 5, which provides a physical entity subscription device according to an embodiment of the present application, including:

a creating module 501, configured to create a data model of a physical entity, where the structure of the data model is an attribute parameter set of the physical entity;

an obtaining module 502, configured to obtain a current state, a historical state, and a planned state of the same target physical entity;

an object generating module 503, configured to perform digital twinning based on the data model and the current state of the target physical entity to obtain a real-time physical entity object, perform digital twinning based on the data model and the historical state of the target physical entity to obtain a historical physical entity object, and perform digital twinning based on the data model and the planned state of the target physical entity to obtain a planned physical entity object;

the subscription module 504 is configured to generate a subscription item according to a subscription request of a physical entity, and generate corresponding subscription information according to the subscription item when it is determined that a condition for triggering generation of subscription information is satisfied in a digital twin process of a full life cycle of the physical entity.

Optionally, the subscription module 504 is configured to generate corresponding subscription information according to the subscription item when determining that a condition for triggering generation of subscription information is met, where the method includes:

determining that conditions for triggering generation of subscription information are met when at least one group of predefined data initial values corresponding to the structure of the data model is created, modified or deleted;

and when determining that the attribute parameters of the created, modified or deleted plan physical entity object comprise the physical entity identification in the subscription item, inquiring data meeting the filtering condition in the corresponding subscription item in the created, modified or deleted plan physical entity object to obtain subscription information matched with the subscription request.

determining that a condition for triggering generation of subscription information is satisfied when a real-time physical entity object instantiated by a plan physical entity object is created or the real-time physical entity object is deleted or modified;

and when determining that the attribute parameters of the created, modified or deleted real-time physical entity object comprise the physical entity identification in the subscription item, inquiring data meeting the filtering condition in the corresponding subscription item in the created, modified or deleted real-time physical entity object to obtain subscription information matched with the subscription request.

and when determining that the attribute parameters of the generated historical physical entity object comprise the physical entity identification in the subscription item, inquiring data which meets the filtering condition in the corresponding subscription item in the generated historical physical entity object to obtain the subscription information matched with the subscription request.

Optionally, the apparatus further includes a query module, configured to:

Based on the same public concept, the embodiment of the present application further provides a digital twin device with a full life cycle of a physical entity, and as the device is the device in the method in the embodiment of the present application and the principle of solving the problem of the device is similar to that of the method, the implementation of the device may refer to the implementation of the method, and the repeated parts are not described again.

As will be appreciated by one skilled in the art, aspects of the present application may be embodied as a system, method or program product. Accordingly, various aspects of the present application may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

In some possible embodiments, an apparatus according to the present application may include at least one processor, and at least one memory. Wherein the memory stores program code that, when executed by the processor, causes the processor to perform the steps of the physical entity full lifecycle digital twin method according to various exemplary embodiments of the present application described above in the present specification.

An apparatus 600 according to this embodiment of the present application is described below with reference to fig. 6. The apparatus 600 shown in fig. 6 is only an example and should not bring any limitations to the functionality or scope of use of the embodiments of the present application.

As shown in fig. 6, the device 600 is embodied in the form of a general purpose device. The components of device 600 may include, but are not limited to: the at least one processor 601, the at least one memory 602, the bus 603 connecting the different system components (including the memory 602 and the processor 601), wherein the memory stores program code that, when executed by the processor, causes the processor to perform the steps of:

Bus 603 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.

The memory 602 may include readable media in the form of volatile memory such as Random Access Memory (RAM)6021 and/or cache memory 6022, and may further include read-only memory (ROM) 6023.

The memory 602 may also include a program/utility 6025 having a set (at least one) of program modules 6024, such program modules 6024 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Device 600 may also communicate with one or more external devices 604 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with device 600, and/or with any devices (e.g., router, modem, etc.) that enable device 600 to communicate with one or more other devices. Such communication may occur via input/output (I/O) interfaces 605. Also, the device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 606. As shown, a network adapter 606 communicates with the other modules for the device 600 over the bus 603. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the device 600, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Optionally, the attribute parameter set of the physical entity includes:

and the space attribute is used for recording the space of the physical entity.

Optionally, the processor is configured to create a data model of a physical entity, and includes:

Optionally, the processor is configured to perform digital twinning based on the data model and the current state of the target physical entity to obtain a real-time physical entity object, perform digital twinning based on the data model and the historical state of the target physical entity to obtain a historical physical entity object, and perform digital twinning based on the data model and the planned state of the target physical entity to obtain a planned physical entity object, and the method includes:

Optionally, the processor is further configured to:

Optionally, the processor is configured to record an obtained attribute parameter value of one historical physical entity object, and obtain one historical physical entity object record of a corresponding physical entity, where the record includes:

Optionally, the processor is configured to record the obtained attribute parameter value of a planned physical entity object to obtain a planned physical entity object record corresponding to the physical entity, and includes:

and determining and recording the attribute parameter values of the planned physical entity object according to the planned state of the target physical entity predefined by the user to obtain a planned physical entity object record corresponding to the physical entity.

Optionally, the processor is further configured to:

the physical entity data model comprises a predefined identification of the physical entity data model and a set of predefined data initial values for uniquely identifying the corresponding physical entity data model.

and the shape attribute is used for recording the shape of the physical entity.

Based on the same disclosure concept, a physical entity subscription device is also provided in the embodiments of the present application, and since the device is a device in the method in the embodiments of the present application, and the principle of the device to solve the problem is similar to the method, the implementation of the device may refer to the implementation of the method, and repeated details are not described again.

As will be appreciated by one skilled in the art, aspects of the present application may be embodied as a system, method or program product. Accordingly, various aspects of the present application may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.), or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

In some possible embodiments, an apparatus according to the present application may include at least one processor, and at least one memory. The memory has stored therein program code which, when executed by the processor, causes the processor to perform the steps of the physical entity subscription method according to various exemplary embodiments of the present application described above in the present specification.

An apparatus 700 according to this embodiment of the present application is described below with reference to fig. 7. The device 700 shown in fig. 7 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present application.

As shown in fig. 7, the device 700 is in the form of a general purpose device. The components of device 700 may include, but are not limited to: the at least one processor 701, the at least one memory 702, the bus 703 connecting the different system components (including the memory 702 and the processor 701), wherein the memory stores program code that, when executed by the processor, causes the processor to perform the steps of:

Bus 703 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.

The memory 702 can include readable media in the form of volatile memory, such as Random Access Memory (RAM)7021 and/or cache memory 7022, and can further include Read Only Memory (ROM) 7023.

Memory 702 may also include a program/utility 7025 having a set (at least one) of program modules 7024, such program modules 7024 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Device 700 can also communicate with one or more external devices 704 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with device 700, and/or with any devices (e.g., router, modem, etc.) that enable device 700 to communicate with one or more other devices. Such communication may occur via input/output (I/O) interfaces 705. Also, the device 700 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) via the network adapter 706. As shown, the network adapter 706 communicates with the other modules for the device 700 over a bus 703. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the device 700, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Optionally, when determining that a condition for triggering generation of subscription information is satisfied, the processor is configured to generate corresponding subscription information according to the subscription item, and the method includes:

Optionally, the processor is further configured to:

In some possible embodiments, the aspects of a physical entity full-lifecycle digital twin method provided herein may also be implemented in the form of a program product, which includes program code for causing a computer device to perform the steps of a physical entity full-lifecycle digital twin method according to various exemplary embodiments of the present application described above in this specification, when the program product is run on the computer device.

In some possible embodiments, various aspects of a physical entity subscription method provided in the present application may also be implemented in the form of a program product, which includes program code for causing a computer device to perform the steps in a physical entity subscription method according to various exemplary embodiments of the present application described above in this specification, when the program product is run on the computer device.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The program product for monitoring of embodiments of the present application may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a device. However, the program product of the present application is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device, or entirely on the remote device or server. In the case of a remote device, the remote device may be connected to the user device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external device (e.g., through the internet using an internet service provider).

It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functions of two or more units described above may be embodied in one unit, according to embodiments of the application. Conversely, the features and functions of one unit described above may be further divided into embodiments by a plurality of units.

Further, while the operations of the methods of the present application are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and block diagrams, and combinations of flows and blocks in the flow diagrams and block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and block diagram block or blocks.

While the preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A method for digital twinning of a full lifecycle of a physical entity, the method comprising:

creating a data model of the physical entity, wherein the structure of the data model is an attribute parameter set of the physical entity;

2. The method of claim 1, wherein the set of attribute parameters of the physical entity comprises:

and the space attribute is used for recording the space of the physical entity.

3. The method of claim 1 or 2, wherein creating the data model of the physical entity comprises:

4. The method of claim 3, wherein digitally twinning a real-time physical entity object based on the data model and a current state of the target physical entity, digitally twinning a historical physical entity object based on the data model and a historical state of the target physical entity, and digitally twinning a planned physical entity object based on the data model and a planned state of the target physical entity comprises:

determining a group of predefined data initial values corresponding to the target physical entity, and replacing the determined group of predefined data initial values with attribute parameter values corresponding to the historical state of the target physical entity to obtain a historical physical entity object;

5. The method according to claim 1 or 2, wherein the set of attribute parameters of the physical entity comprises a time attribute, wherein:

6. The method of claim 3, further comprising:

recording the obtained attribute parameter value of the real-time physical entity object to obtain a real-time physical entity object record corresponding to the physical entity;

7. The method of claim 6, wherein recording the obtained attribute parameter value of one historical physical entity object to obtain one historical physical entity object record corresponding to the physical entity comprises:

when the current state of the target physical entity is determined to be changed, obtaining the historical state of the target physical entity according to the changed state of the target physical entity, determining and recording the attribute parameter values of the historical physical entity object, and obtaining a historical physical entity object record corresponding to the physical entity; or

8. The method of claim 6, wherein recording the obtained values of the attribute parameters of a planned physical entity object to obtain a planned physical entity object record corresponding to the physical entity comprises:

9. The method of claim 4, further comprising:

10. The method of claim 9,

determining the attribute parameter value of the historical state of the target physical entity according to the current state of the target physical entity after the target physical entity changes or according to the historical state of the target physical entity predefined by a user;

11. The method according to any one of claims 7 to 10, wherein the attribute parameter set of the physical entity comprises the following attribute parameters:

12. The method of claim 2, wherein the spatial attributes further comprise at least one of:

and the shape attribute is used for recording the shape of the physical entity.

13. The method of claim 12,

the spatial position is described in a manner of an offset of the spatial position of the physical entity relative to other associated physical entities, or in a manner of another object entity within the spatial position of the other associated physical entities.

14. A physical entity subscription method, comprising:

15. The method of claim 14, wherein determining that a condition triggering generation of subscription information is satisfied, generating corresponding subscription information according to the subscription item comprises:

16. The method of claim 15, wherein determining that a condition triggering generation of subscription information is satisfied, generating corresponding subscription information according to the subscription item comprises:

and when determining that the attribute parameters of the created, modified or deleted plan physical entity object comprise the physical entity identification in the subscription item, querying data meeting the filtering condition in the corresponding subscription item in the created, modified or deleted plan physical entity object to obtain subscription information matched with the subscription request.

17. The method of claim 15, wherein determining that a condition triggering generation of subscription information is satisfied, generating corresponding subscription information according to the subscription item comprises:

18. The method of claim 15, wherein determining that a condition triggering generation of subscription information is satisfied, generating corresponding subscription information according to the subscription item comprises:

and when determining that the attribute parameters of the generated historical physical entity object comprise the physical entity identification in the subscription item, inquiring data which meets the filtering condition in the corresponding subscription item in the generated historical physical entity object to obtain subscription information matched with the subscription request.

19. The method of any one of claims 15 to 18, further comprising:

20. A full-life-cycle digital twin apparatus of a physical entity, comprising:

and the object generating module is used for performing digital twinning on the basis of the data model and the current state of the target physical entity to obtain a real-time physical entity object, performing digital twinning on the basis of the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performing digital twinning on the basis of the data model and the planned state of the target physical entity to obtain a planned physical entity object.

21. A physical entity subscription device, comprising:

the object generation module is used for performing digital twinning on the basis of the data model and the current state of the target physical entity to obtain a real-time physical entity object, performing digital twinning on the basis of the data model and the historical state of the target physical entity to obtain a historical physical entity object, and performing digital twinning on the basis of the data model and the planned state of the target physical entity to obtain a planned physical entity object;

22. A full-life digital twin device of physical entities, comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-13.

23. A physical entity subscription device comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 14-19.

24. A computer storage medium, characterized in that the computer storage medium stores a computer program for causing a computer to perform the method according to any one of claims 1-19.